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Conceptualistic Pragmatism: A framework for Bayesian analysis?

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  • Bo Bergman

Abstract

This paper argues for an extended framework for the subjectivist approach to statistical decision making—the judgements made for deriving a likelihood function should be carefully reflected upon. The Harvard professor of philosophy Clarence I. Lewis did offer a philosophical action-oriented framework for this type of reflection. The philosophy of Lewis has very much influenced the originators of the quality movement. This constitutes an interesting link between two important learning-oriented approaches in the current statistical discourse—the subjectivist theory of statistical inference and the quality movement with its focus on continuous improvements.

Suggested Citation

  • Bo Bergman, 2009. "Conceptualistic Pragmatism: A framework for Bayesian analysis?," IISE Transactions, Taylor & Francis Journals, vol. 41(1), pages 86-93.
    • Handle: RePEc:taf:uiiexx:v:41:y:2009:i:1:p:86-93
    DOI: 10.1080/07408170802322713
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    Cited by:

    1. Zio, Enrico, 2016. "Challenges in the vulnerability and risk analysis of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 137-150.
    2. Aven, Terje, 2011. "Selective critique of risk assessments with recommendations for improving methodology and practise," Reliability Engineering and System Safety, Elsevier, vol. 96(5), pages 509-514.
    3. Terje Aven, 2017. "Improving the foundation and practice of reliability engineering," Journal of Risk and Reliability, , vol. 231(3), pages 295-305, June.
    4. Aven, Terje, 2015. "Implications of black swans to the foundations and practice of risk assessment and management," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 83-91.
    5. Aven, Terje, 2016. "Ignoring scenarios in risk assessments: Understanding the issue and improving current practice," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 215-220.
    6. Aven, Terje, 2012. "The risk concept—historical and recent development trends," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 33-44.
    7. Aven, Terje & Zio, Enrico, 2011. "Some considerations on the treatment of uncertainties in risk assessment for practical decision making," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 64-74.
    8. Aven, Terje, 2013. "Practical implications of the new risk perspectives," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 136-145.
    9. Aven, Terje, 2010. "On how to define, understand and describe risk," Reliability Engineering and System Safety, Elsevier, vol. 95(6), pages 623-631.
    10. Nicola Pedroni & Enrico Zio & Alberto Pasanisi & Mathieu Couplet, 2017. "A critical discussion and practical recommendations on some issues relevant to the non-probabilistic treatment of uncertainty in engineering risk assessment," Post-Print hal-01652230, HAL.
    11. Aven, Terje & Krohn, Bodil S., 2014. "A new perspective on how to understand, assess and manage risk and the unforeseen," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 1-10.
    12. Aven, Terje, 2020. "Bayesian analysis: Critical issues related to its scope and boundaries in a risk context," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    13. Aven, Terje, 2014. "On the meaning of the special-cause variation concept used in the quality discourse – And its link to unforeseen and surprising events in risk management," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 81-86.
    14. Nicola Pedroni & Enrico Zio & Alberto Pasanisi & Mathieu Couplet, 2017. "A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1315-1340, July.

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